Healthcare costs in the Netherlands amount to 100 billion euros annually (10% of GDP) and are expected to rise to over 170 billion euros by 2040. It is essential to continue improving care and to keep the healthcare system affordable. This requires insights that are hidden in the (patient) data of various care organisations. Combining data from large groups of patients could lead to new insights and better treatment methods for patients. But how do you secure sensitive patient data such that patients remain anonymous, privacy is safeguarded and information does not fall into the wrong hands?
Go straight to practical examples:
Whitepaper: Harness data in a privacy-friendly way
Sharing data between different healthcare providers is not allowed without strict precautions: privacy must be optimally guaranteed with maximum data security. TNO has developed the Care for Data innovation for this purpose.
What is multi-party computation?
Multi-Party Computation, or MPC for short, is a ‘toolbox’ of cryptographic techniques that allow several parties to jointly analyse their data, just as if they have a shared database. Data are protected by cryptographic techniques, allowing them to be shared and analysed without parties ever actually being able to access other parties’ data and without having to make use of a third party to carry out the analyses. With MPC, absolutely no data is disclosed, only combined conclusions and insights are revealed. This can be done in such a way that everyone can verify that the results are correct.

Personalized health care interventions
In July 2020, in collaboration with Erasmus MC, Zilveren Kruis and ZorgTTP, TNO demonstrated that it is possible to securely link and analyze personal data from multiple organizations. By using state-of-the-art cryptography, a pilot with synthetic data demonstrated that these types of solutions work in practice. Insurance data can be combined with hospital data in the future to make better predictions about diseases and conditions, such as for heart failure. And those predictions can be used by doctors for personalized health care interventions.
- Read more: Identifying heart failure patients at high risk using MPC - Marie Beth van Egmond

Improving cancer Treatment with MPC
TNO and the Netherlands Comprehensive Cancer Organisation (IKNL) are working together to generate insights from the ever-increasing amounts of data available from cancer patients. This can ultimately help to reduce the impact of cancer by increasing the chances of recovery and preventing cancer in the first place. Within this multidisciplinary collaboration – between doctors, epidemiologists, data scientists and clinical computer scientists, among others – MPC is used to extract more value from the available data of the Netherlands Cancer Registry (NCR) and other sources. The NCR contains data on diseases, care and outcomes.
The ambition of TNO and IKNL for 2020 is to develop privacy-secure, open-source software. This software will be more widely applicable in many more healthcare applications. In this way, these new innovations can be of maximum benefit to the patient.

The search for optimal hiv treatment
HIV research also runs into problems regarding the use of privacy-sensitive patient data. MPC technology can offer a solution in this area too. TNO, together with research groups at the University of Amsterdam (UvA) and Centrum Wiskunde & Informatica (CWI), has conducted research into the suitability of MPC when it comes to determining the optimal treatment for an individual HIV patient without compromising privacy.All those involved are enthusiastic and think that MPC can also be used to determine the best treatment for other diseases and within other sectors.

Care for Data platform
Platform for secure data analysis in care
The Care for Data platform was developed in collaboration with CZ, Zuyderland Hospital and CBS. This decentralised platform makes it possible to perform statistical analyses of care data that remain with different parties in a secure manner and of which only the results for the total population are visible (data on a personal level is therefore never shared). Additionally, no Trusted Third Party is needed to anonymise the data.
Care for Data is a scalable platform which makes it possible to continuously assess the effectiveness of care innovations at a low cost or to monitor the quality of care (value-based healthcare) without sensitive data ending up with other parties. TNO is looking for parties that want to evaluate the cost-effectiveness of an existing healthcare innovation or that are interested in monitoring value-based healthcare contracts.
HOW MPC can help your organisation
TNO has the unique expertise needed to help your organisation with these techniques and to advise you on customised solutions.
Want to know how MPC can help your company?
Please contact Daniël Worm
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Dr. Daniël Worm
- Multi-Party Computation
- Privacy-Enhancing Technologies
- Cryptography
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